Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-base-multilingual-cased-finetuned-PersianQuAD – AI Model by Z-Jafari | AlphaNeural AI
You can deploy this model and start earning money today!
Z-Jafari
/
bert-base-multilingual-cased-finetuned-PersianQuAD
like
0
transformers
tensorboard
safetensors
bert
question-answering
generated_from_trainer
fa
Z-Jafari/PersianQuAD
google-bert/bert-base-multilingual-cased
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bert-base-multilingual-cased-finetuned-PersianQuAD
This model is a fine-tuned version of
google-bert/bert-base-multilingual-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9586
{'exact_match': 77.9, 'f1': 81.76227345753657}
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
fp16 = True
Training results
Training Loss
Epoch
Step
Validation Loss
0.9152
1.0
1564
0.8842
0.6174
2.0
3128
0.8860
0.4406
3.0
4692
0.9586
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
